m osaic designs ultra-low-power integrated circuits that give AI-capable devices continuous spatial awareness, enabling real-time object recognition, audio processing, and simultaneous localization and mapping on a single chip. The company's chip technology allows smartphones, home assistants, and other devices to understand their physical surroundings without relying on wall-mounted cameras or cloud processing.
Funding
Funding not disclosed
Founders
Product
Problem
Today's AI-capable devices lack a continuous understanding of the physical world. Smartphones move with users but do not continuously observe surroundings, wall-mounted cameras miss context outside their field of view, and home assistants can hear commands but cannot see the environment. This prevents devices from answering questions like "where was this last seen?" or guiding users through indoor spaces.
Solution
m osaic designs integrated circuits that give any device real-time spatial awareness by combining the critical building blocks of perception onto a single chip. The chip integrates object recognition to detect and track objects as they appear and move, audio processing to understand interactions and intent through sound, and simultaneous localization and mapping (SLAM) to place events within a consistent spatial and temporal frame. This approach delivers ultra-low power consumption and minimal size, enabling continuous environmental understanding directly on the device without requiring external infrastructure.
Target Audience
Primary customers are consumer electronics manufacturers building AI-capable devices such as smartphones, home assistants, and smart home products that require continuous spatial awareness and environmental understanding.
Features
- Single-chip integration of object recognition, audio processing, and SLAM capabilities
- Ultra-low-power design suitable for battery-operated portable devices
- Real-time object detection and tracking as objects appear, move, and disappear
- Audio processing that adds contextual understanding of conversations and environmental sounds
- Continuous self-localization and environment mapping for consistent spatial awareness
- Compact form factor enabling integration into smartphones, home assistants, and other consumer devices